16.7.2.6.2 Driver Distraction Analysis

Chapter Contents (Back)
Driver Assistance. Driver Distraction.

Liang, Y., Reyes, M.L., Lee, J.D.,
Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines,
ITS(8), No. 2, April 2007, pp. 340-350.
IEEE DOI 0706
BibRef

Ersal, T., Fuller, H.J.A., Tsimhoni, O., Stein, J.L., Fathy, H.K.,
Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks,
ITS(11), No. 3, September 2010, pp. 692-701.
IEEE DOI 1003
BibRef

Gelau, C., Schindhelm, R.,
Enhancing the occlusion technique as an assessment tool for driver visual distraction,
IET-ITS(4), No. 4, 2010, pp. 346-355.
DOI Link 1204
BibRef

Metz, B., Krueger, H.P.,
Measuring visual distraction in driving: The potential of head movement analysis,
IET-ITS(4), No. 4, 2010, pp. 289-297.
DOI Link 1204
BibRef

Wollmer, M., Blaschke, C., Schindl, T., Schuller, B., Farber, B., Mayer, S., Trefflich, B.,
Online Driver Distraction Detection Using Long Short-Term Memory,
ITS(12), No. 2, June 2011, pp. 574-582.
IEEE DOI 1101
BibRef

Bi, L., Gan, G., Shang, J., Liu, Y.,
Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction Task,
ITS(13), No. 4, December 2012, pp. 1810-1820.
IEEE DOI 1212
BibRef

Jimenez, P., Bergasa, L.M., Nuevo, J., Hernandez, N., Daza, I.G.,
Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS,
ITS(13), No. 3, September 2012, pp. 1167-1178.
IEEE DOI 1209
BibRef

Yekhshatyan, L., Lee, J.D.,
Changes in the Correlation Between Eye and Steering Movements Indicate Driver Distraction,
ITS(14), No. 1, March 2013, pp. 136-145.
IEEE DOI 1303
BibRef

Ahlstrom, C., Kircher, K., Kircher, A.,
A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior,
ITS(14), No. 2, 2013, pp. 965-973.
IEEE DOI 1307
Roads; Safety; Distraction warning; eye movements; eye tracking BibRef

Tango, F., Botta, M.,
Real-Time Detection System of Driver Distraction Using Machine Learning,
ITS(14), No. 2, 2013, pp. 894-905.
IEEE DOI 1307
Artificial neural networks; driver distraction and inattention BibRef

Tian, R., Li, L., Chen, M., Chen, Y., Witt, G.J.,
Studying the Effects of Driver Distraction and Traffic Density on the Probability of Crash and Near-Crash Events in Naturalistic Driving Environment,
ITS(14), No. 3, 2013, pp. 1547-1555.
IEEE DOI 1309
Cumulative driver off-road glance duration BibRef

Siordia, O.S.[Oscar S.], Martín de Diego, I.[Isaac], Conde, C.[Cristina], Cabello, E.[Enrique],
Subjective Traffic Safety Experts' Knowledge for Driving-Risk Definition,
ITS(15), No. 4, August 2014, pp. 1823-1834.
IEEE DOI 1410
BibRef
Earlier: A2, A1, A3, A4:
Section-Wise Similarities for Classification of Subjective-Data on Time Series,
CIARP11(363-371).
Springer DOI 1111
automobiles BibRef

Li, N., Busso, C.,
Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features,
ITS(16), No. 1, February 2015, pp. 51-65.
IEEE DOI 1502
Cameras BibRef

Wang, S., Zhang, Y., Wu, C., Darvas, F., Chaovalitwongse, W.A.,
Online Prediction of Driver Distraction Based on Brain Activity Patterns,
ITS(16), No. 1, February 2015, pp. 136-150.
IEEE DOI 1502
Cities and towns BibRef

Liu, T., Yang, Y., Huang, G.B., Yeo, Y.K., Lin, Z.,
Driver Distraction Detection Using Semi-Supervised Machine Learning,
ITS(17), No. 4, April 2016, pp. 1108-1120.
IEEE DOI 1604
Labeling BibRef

Liao, Y., Li, S.E., Wang, W., Wang, Y., Li, G., Cheng, B.,
Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway,
ITS(17), No. 6, June 2016, pp. 1628-1637.
IEEE DOI 1606
Accidents BibRef

Wan, P.[Ping], Wu, C.Z.[Chao-Zhong], Lin, Y.Z.[Ying-Zi], Ma, X.F.[Xiao-Feng],
On-road experimental study on driving anger identification model based on physiological features by ROC curve analysis,
IET-ITS(11), No. 5, June 2017, pp. 290-298.
DOI Link 1705
BibRef

Yüce, A., Gao, H., Cuendet, G.L., Thiran, J.P.,
Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving,
AffCom(8), No. 2, April 2017, pp. 161-175.
IEEE DOI 1706
Accidents, Databases, Feature extraction, Gold, Monitoring, Vehicles, Visualization, Affect sensing and analysis, affective computing applications, driver cognitive distraction, emotional corpora, facial expression, vehicle, operation BibRef

Muñoz-Organero, M., Corcoba-Magaña, V.,
Predicting Upcoming Values of Stress While Driving,
ITS(18), No. 7, July 2017, pp. 1802-1811.
IEEE DOI 1706
Heart rate variability, Physiology, Sensors, Skin, Stress, Vehicles, Stress level prediction, machine learning, stress level classification, stress-friendly, driving, behavior BibRef

Lee, B.G., Chung, W.Y.,
Wearable Glove-Type Driver Stress Detection Using a Motion Sensor,
ITS(18), No. 7, July 2017, pp. 1835-1844.
IEEE DOI 1706
Accelerometers, Biomedical monitoring, Mobile handsets, Stress, Stress measurement, Vehicles, Wheels, Driver assistance, healthcare sensor, inertial motion unit, stress monitoring, wearable, system BibRef


Le, T.H.N., Quach, K.G., Zhu, C., Duong, C.N., Luu, K., Savvides, M.,
Robust Hand Detection and Classification in Vehicles and in the Wild,
CVVT17(1203-1210)
IEEE DOI 1709
Databases, Feature extraction, Object detection, Proposals, Robustness, Support vector machines, Vehicles BibRef

Koesdwiady, A.[Arief], Bedawi, S.M.[Safaa M.], Ou, C.[Chaojie], Karray, F.[Fakhri],
End-to-End Deep Learning for Driver Distraction Recognition,
ICIAR17(11-18).
Springer DOI 1706
BibRef

Billah, T., Mahbubur Rahman, S.M.,
Tracking-based detection of driving distraction from vehicular interior video,
AVSS16(423-428)
IEEE DOI 1611
Cellular phones BibRef

Ragab, A.[Amira], Craye, C.[Celine], Kamel, M.S.[Mohamed S.], Karray, F.[Fakhri],
A Visual-Based Driver Distraction Recognition and Detection Using Random Forest,
ICIAR14(I: 256-265).
Springer DOI 1410
BibRef

Rezaei, M.[Mahdi], Klette, R.[Reinhard],
Look at the Driver, Look at the Road: No Distraction! No Accident!,
CVPR14(129-136)
IEEE DOI 1409
2D to 3D modelling BibRef

Rezaei, M.[Mahdi], Klette, R.[Reinhard],
Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions,
DTCE12(II:427-440).
Springer DOI 1304
BibRef
Earlier:
3D Cascade of Classifiers for Open and Closed Eye Detection in Driver Distraction Monitoring,
CAIP11(II: 171-179).
Springer DOI 1109
BibRef

Kutila, M.[Matti], Jokela, M.[Maria], Markkula, G.[Gustav], Rue, M.R.[Maria Romera],
Driver Distraction Detection with a Camera Vision System,
ICIP07(VI: 201-204).
IEEE DOI 0709
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
License Plate Recognition, Extraction, Analysis .


Last update:Nov 11, 2017 at 13:31:57